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J.P. Morgan is a leading liquidityprovider in global macro ecommerce markets. We offer a full spectrum ofproducts and services - including FX, Commodities and Rates. The AutomatedTrading Strategies (ATS) group runs systematic trading within this space andare responsible for algorithmic pricing, automated risk management and hedging,and intelligent order execution strategies. ATS works closely with otherinternal parties (other trading desks, sales, IT, research) to ensure clientsare taking advantage of the firm's broad array of market-leading electronicservices. Job summary
The trading strategist will work as part of the ATS front-office team on the FXfloor in Hong Kong/Singapore with primary focus on the FX markets of G10 andthe more liquid GEM currencies. The environment is fast-paced and challenging.The individual must be responsible, independent and able to work in smoothcoordination with the larger team to drive the desk's profitability.
The individual needs to work closely with the desk to drive revenue and expandthe business. Apart from that, he/she is also expected to cover a wide range ofresponsibilities. These include designing trading and execution strategies;researching micro-patterns and trends; building, maintaining and upgradingapplications & tools; supporting day-to-day operation. The group isglobally distributed so some travelling to New York/London and possibly withinAsia should be expected.
Create/modify/implement algorithmic orders to execute on behalf of clients as well as internal manual traders.
Work closely with technology to develop cutting edge low latency infrastructure that meets business needs in a scalable manner.
Derive automatic hedging solutions with risk managers to extract the best values out of our flows.
Intelligently utilize internal and non-public sources of liquidity to minimize the impact of algorithmic order execution.
Create generic and bespoke post-trade transaction cost analysis models and reports for evaluation algorithmic order executions.
Create pre-trade transaction cost analysis to help clients choose algorithmic orders for appropriate execution.
Perform statistical analysis of algorithmic order execution for internal use and to drive iterative improvements.
Understands firm's approach and policies for managing risks in relevant business and applicable legal and regulatory rules, and follows policies.
Balance potentially competing needs across clients, internal partners and the firm.
Interest in market microstructures and quantitative trading in FX
Excellent quantitative, modelling, and analytical skills
Attention to detail, adaptable and hungry to learn
Ability to understand and map data flows across applications and data sources
Design and programming skills, with primary focus on Java and Python
Interest in applying agile development practices in a front-office trading environment
Ability to thrive on the challenge of competitive pressures and remain focused on client needs
Ability to communicate concepts and ideas, both verbally and via documentation, and be able to defend their validity and target messages to different audiences.
Self-directed, highly motivated, and able to work independently.
Degree in Engineering, Mathematics, Physics, Computer Science or equivalent. Computer Science is preferred. Some graduate school in a technical field is preferred.
FX markets experience and general trading concepts and terminology is useful but not essential.
Experience of working with ECNs especially EBS, Reuters, Currenex, CME, Hotspot, etc or similar ECN's in other asset classes.
Direct experience of agile software methodologies.
Must be oriented towards careful system and solution design and implementation.
Attention to detail is essential.
Internal Number: 6237935
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